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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 281 · 40 questions
TalentJR

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

NameDateTime takenScore ___ / 40
  1. 1.True or false: “balance the data” helps reduce bias. (a) True (b) False
  2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  4. 4.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) use one group only (d) skip testing
  7. 7.True or false: “skip testing” helps reduce bias. (a) False (b) True
  8. 8.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on many groups (d) skip testing
  9. 9.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  11. 11.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) balance the data (d) copy old unfair choices
  14. 14.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  15. 15.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) skip testing
  16. 16.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  17. 17.True or false: “balance the data” adds to bias. (a) True (b) False
  18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  19. 19.True or false: “add more of the same” adds to bias. (a) False (b) True
  20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
  24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  26. 26.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) skip testing
  27. 27.True or false: “ask different people” helps reduce bias. (a) False (b) True
  28. 28.True or false: “ask different people” adds to bias. (a) False (b) True
  29. 29.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add more of the same (d) fix wrong labels
  30. 30.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ask different people (d) ignore complaints
  31. 31.Which of these adds to bias? (a) test on many groups (b) ask different people (c) balance the data (d) skip testing
  32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  33. 33.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) ask different people (d) fix wrong labels
  34. 34.True or false: “test on many groups” helps reduce bias. (a) False (b) True
  35. 35.Which of these adds to bias? (a) ask different people (b) balance the data (c) use one group only (d) check who is missing
  36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  37. 37.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  40. 40.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

  1. True
  2. reduces bias
  3. False
  4. False
  5. more varied data
  6. fix wrong labels
  7. False
  8. test on many groups
  9. True
  10. one-sided data
  11. adds to bias
  12. reduces bias
  13. balance the data
  14. its training data
  15. add varied examples
  16. False
  17. False
  18. one-sided data
  19. True
  20. reduces bias
  21. one-sided data
  22. balanced data
  23. bias from data
  24. False
  25. reduces bias
  26. add varied examples
  27. True
  28. False
  29. add more of the same
  30. ask different people
  31. skip testing
  32. False
  33. copy old unfair choices
  34. True
  35. use one group only
  36. few child voices in data
  37. True
  38. False
  39. False
  40. True

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